Job Description

DISH Wireless is building a next-gen 5G network to disrupt the wireless industry and fuel innovation in transportation, health care, education, sustainability, city management, and agriculture.

We’re driven by curiosity, pride, adventure, and a desire to win – and we’re looking for people with boundless energy, intelligence, and an overwhelming need to achieve. Join us as we embark on our greatest adventure of all.

Opportunity is here. We are DISH Wireless. 

We are looking for innovative and passionate Tech professionals  to help bring value to our customers, both internal and external, and help us make data-driven decisions to change the way the world communicates. 

This is an opportunity for creative individuals to engineer innovative products and services that will propel DISH into the forefront of the next technological revolution using a data-driven approach.  If you have a sense of adventure, take pride in solving complex data problems, and strive to build the best products on the planet, we want you on our Engineering team here at DISH Technologies.

Basic Requirements

Experience in software development using one or more of the following: Python, Go, R in a Unix/Linux and container based environment
Experience using ETL (Extract, Transform, and Load) concepts and techniques on messy data sets and large databases
Experience with Big Data using: SQL based and non SQL technologies, Athena, BigQuery, Spark, Hadoop, Hive, Impala
Experience with AWS and GCP
Experience with data visualization tools such as Grafana, ELK, Tableau
Experience using common data science techniques such as data mining, time series data analysis, multivariate analysis, clustering, regression – logistical and linear, and pattern recognition. Experience with ML tools such as Tensorflow and Scikit-learn

A successful Data Analyst will have the following:

Bachelor's Degree or equivalent from four-year College or technical school, preferably in Computer Science, Computer Engineering, Information Systems, or other STEM-related field with desire to apply that knowledge, and 2+ years of related experience, or equivalent combination of education and experience
At least two years of experience using ETL (Extract, Transform, and Load) concepts and techniques on messy data sets and large databases
At least two years of experience with Excel using advanced functions and macros
Strong communication skills to work with partners internal and external to manage data flow into our infrastructure
Ability to read, analyze, and interpret common metrics used to measure and monitor operational performance, define problems, collect data, establish facts, draw valid conclusions, and provide clear and concise communication with a wide audience of internal departments
Proven ability to quickly learn new concepts, processes, software, and development ideas

The following additional qualifications are a plus:

Masters in Computer Engineering, Computer Science, Telecommunications, or a related field
Two years of experience developing software using any of the following programming languages: Python, R, VBA, C#, Javascript
Two years of experience using Tableau
Two years of experience with SQL-like query language and table design
Proficiency with Google G Suite and the Google API
Ability to work off hours